International Conference on Artificial Intelligence and Sustainable Engineering

Smart Grid and Net Metering Impact in Current Scenario of Power System.- Machine Learning Based Approach for Myocardial Infarction.- Joyful Jaccard: An Analysis of Jaccard-based Similarity Measures in Collaborative Recommendations.- An Improved Reversible Data Hiding Technique for Encrypted Images Using Difference Error Expansion.- Assessment of Image Quality Metric by the means of Various Preprocessing Filters for Lung CT Scan Images.- A New Approach for Acute Lymphocytic Leukemia Identification Using Transfer Learning.- A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis.- AMD-net: Automatic Medical Diagnoses using Retinal OCT Images.- Performance Interpretation of Supervised Artificial Neural Network Highlighting Role of Weight and Bias for Link Prediction.- Using Big Data Analytics on Social Media to Analyze Tourism Service Encounters.

Dr. Goutam Sanyal has served as the Head of the Department of Computer Science & Engineering at the National Institute of Technology (NIT) Durgapur, India. He received B. Tech. and M.Tech. from NIT, Durgapur, and Ph.D. (Engg.) from Jadavpur University, Kolkata, in robot manipulator path planning. He holds over 35 years of experience in the field of teaching, research, and administration. He has published nearly 200 papers in reputed international journals and conferences. He has guided 22 Ph.D. scholars in steganography, wireless sensor networks, computer vision, natural language processing. He has supervised more than 40 PG and 300 UG theses. He is a co-author of a book in Computer Graphics and Multimedia and 8 Book chapters. He is a regular Member of IEEE, a Life Member of CSI, and a Fellow of IEI. His biography has been selected for inclusion in Marquis Who's Who in the World 2016, 2017, 2018, 2019, and 2020 Edition.

 

Carlos M. Travieso-González isa Full Professor of signal processing and pattern recognition and head of the signals and communications department at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain, and a Ph.D. degree in 2002 at ULPGC. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched 51 international and Spanish research projects. He has 04 authored books, 24 edited books, 440 journal papers, and 07 patents in Spanish Patent and Trademark Office published to his credit. He has been a supervisor on 8 Ph.D. Thesis (12 more are under supervision), and 130 Master Thesis.

 

Dr. Shashank Awasthi is a professor in the computer science and engineering department of GL Bajaj Institute of Technology &